EMG-based power assist control system
Electromyography (EMG) is an electrical signal generated in the muscles when the muscles contract. An EMG power assist system is a system which uses an EMG interface to interpret the intentions of the human from the EMG signals and thus control an actuator which helps perform the t...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/10356/39714 |
| _version_ | 1826127427061940224 |
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| author | Xing, Yi Tong. |
| author2 | Low Kay Soon |
| author_facet | Low Kay Soon Xing, Yi Tong. |
| author_sort | Xing, Yi Tong. |
| collection | NTU |
| description | Electromyography (EMG) is an electrical signal generated in the muscles when the muscles contract.
An EMG power assist system is a system which uses an EMG interface to interpret the
intentions of the human from the EMG signals and thus control an actuator which helps
perform the task, allowing the human strength to be increased.
Raw EMG signals have to be first processed to ensure a certain quality to the EMG signal before the features of the signal can be extracted and used for motion discrimination.
In this project, 2 degrees of motions of the arms were considered. Experiments were
then conducted to study the relationship between joint angles and the EMG signals.
A method to recognize the EMG waveform when carrying various arm motions was also
introduced. Finally, a real(time system utilizing an Artificial Neural Network to predict joint angle was also implemented and tested on a human subject.
This report summarizes the processing techniques used to obtain a quality EMG waveform as well as how EMG signals could be used to identify arm motions and joint angles. |
| first_indexed | 2024-10-01T07:08:41Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/39714 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:08:41Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/397142023-07-07T15:48:58Z EMG-based power assist control system Xing, Yi Tong. Low Kay Soon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Electromyography (EMG) is an electrical signal generated in the muscles when the muscles contract. An EMG power assist system is a system which uses an EMG interface to interpret the intentions of the human from the EMG signals and thus control an actuator which helps perform the task, allowing the human strength to be increased. Raw EMG signals have to be first processed to ensure a certain quality to the EMG signal before the features of the signal can be extracted and used for motion discrimination. In this project, 2 degrees of motions of the arms were considered. Experiments were then conducted to study the relationship between joint angles and the EMG signals. A method to recognize the EMG waveform when carrying various arm motions was also introduced. Finally, a real(time system utilizing an Artificial Neural Network to predict joint angle was also implemented and tested on a human subject. This report summarizes the processing techniques used to obtain a quality EMG waveform as well as how EMG signals could be used to identify arm motions and joint angles. Bachelor of Engineering 2010-06-03T04:34:47Z 2010-06-03T04:34:47Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39714 en Nanyang Technological University 86 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Xing, Yi Tong. EMG-based power assist control system |
| title | EMG-based power assist control system |
| title_full | EMG-based power assist control system |
| title_fullStr | EMG-based power assist control system |
| title_full_unstemmed | EMG-based power assist control system |
| title_short | EMG-based power assist control system |
| title_sort | emg based power assist control system |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
| url | http://hdl.handle.net/10356/39714 |
| work_keys_str_mv | AT xingyitong emgbasedpowerassistcontrolsystem |